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Grey-box modelling of the swirl characteristics in gas turbine combustion system

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journal contribution
posted on 11.11.2019, 10:30 authored by Eve ZhangEve Zhang, Miguel Martinez-GarciaMiguel Martinez-Garcia, Roy KalawskyRoy Kalawsky, Anthony Latimer
This paper has proposed a data-driven approach to study the airflow swirl characteristics in industrial gas turbine combustion system. A grey-box model is developed to represent the combustion system characteristics, based on real gas turbine measurements. The model inputs are the burner tip temperatures, and the outputs are the downstream gas temperatures. Then, the model parameters are determined using a hybrid genetic algorithm–quasi-Newton optimization scheme. The efficacy of the proposed approach is demonstrated through a case study. It is shown that the proposed model can be a useful tool that adds to the existing array of gas turbine combustion monitoring applications.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering
  • Mechanical, Electrical and Manufacturing Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

Measurement

Volume

151

Publisher

Elsevier

Version

AM (Accepted Manuscript)

Rights holder

© Elsevier

Publisher statement

This paper was accepted for publication in the journal Measurement and the definitive published version is available at https://doi.org/10.1016/j.measurement.2019.107266.

Acceptance date

08/11/2019

Publication date

2019-11-14

Copyright date

2019

ISSN

0263-2241

Language

en

Depositor

Dr Eve Zhang. Deposit date: 8 November 2019

Article number

107266